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Empirical Study of Grey Wolf Optimizer
2016In this paper, the authors empirically investigate performance of the grey wolf optimizer (GWO). A test suite of six non-linear benchmark functions, well studied in the swarm and the evolutionary optimization literature, is selected to highlight the findings. The test suite contains three unimodal and three multimodal functions.
null Avadh Kishor, Pramod Kumar Singh
openaire +1 more source
Density Peak Clustering Using Grey Wolf Optimization Approach
Journal of ClassificationzbMATH Open Web Interface contents unavailable due to conflicting licenses.
null Preeti, Kusum Deep
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An improved grey wolf optimizer for solving engineering problems
Expert Systems With Applications, 2021Mohammad H Nadimi-Shahraki +2 more
exaly
Facial recognition using grey wolf optimization
Materials Today: Proceedings, 2022Bhaswati Barman +2 more
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Grey wolf genomic history reveals a dual ancestry of dogs
Nature, 2022Anders Bergström +2 more
exaly
Improved Binary Grey Wolf Optimizer and Its application for feature selection
Knowledge-Based Systems, 2020Pei Hu, Jeng-Shyang Pan, Shu-Chuan Chu
exaly